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Field
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. This role is ideal for candidates with a strong background in embedded systems, sensor integration, and AI-based application development who are eager to work on innovative and high-impact projects
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implementing control systems for robotic arms, including vision-based control and sensor integration. Carrying out experimental validation, system calibration, and performance optimisation of robotic and
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conduct world-class applied research. We change and make a difference. Do you want to become one of us? About the faculty and research group Are you passionate about machine learning, signal processing, and
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for Sensors & Systems Integration School Industry Solutions Campus Main Campus Detailed Job Description In order to ensure your application is received by NAIT for thorough review and consideration, please
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different institutions (CNES, CNRS, IRD, UT3). This position is part of the continuous scientific support to the ESA BIOMASS mission, contributing to the development and validation of higher-level forest
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, you have gained essentially corresponding knowledge in another way. The applicant is expected to have good knowledge of computer science, mathematics, algorithms, and programming. Knowledge and
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electrical power, enabling smart sensors to operate without batteries. You will explore novel capacitor-based rectifier architectures, adaptive impedance-matching algorithms, and on-chip protection mechanisms
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communication Autonomous driving algorithms and technologies (e.g. vehicle control, path planning, scheduling) and sensors (e.g. lidars, radars, cameras, and GNSS) High-level integration of autonomous driving
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will design and implement novel computer vision and machine learning methods for “sensorized” cameras that extract medically relevant features without transmitting raw video. You will evaluate algorithms
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this PhD project, you will investigate the co-design between event-based learning algorithms and neuronal hardware units with multi-scale time constants. The algorithmic methodology will exploit recent